Dakota Murray is an Assistant Professor of Information Science & Technology with 11 years of experience bridging data science, network science, and the science of science. He develops and applies neural representation learning, graph and word embeddings, and large-scale scientometric analyses to understand scientific mobility, collaboration, and systemic biases. Dakota’s background spans academic research roles at Northeastern and Indiana University and industry experience as a data scientist at Digital Science, giving him a rare fluency in both applied research and production data workflows. He has led student teams and taught software engineering practices, and his early work includes building education-focused web tools and an iPad app for NASA flight-deck experiments. Known for combining rigorous empirical methods with practical software development, he often surfaces hidden structural biases in peer review and evaluation systems. Based in Bloomington, Indiana, he brings an interdisciplinary approach that turns complex scholarly-data problems into actionable insights.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Informatics, Doctor of Philosophy (PhD) Informatics at Indiana University Bloomington
BS Computer Science, BS Computer Science at Appalachian State University
Contributions:16 PRs, 41 pushes, 10 branches in 2 years
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Dakota Murray - Assistant Professor at University at Albany